학술논문
Construction of Nursing Sequential Decision Knowledge Graph from the Perspective of International Standard Terminology
Document Type
Conference
Author
Source
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :2996-3003 Dec, 2023
Subject
Language
ISSN
2156-1133
Abstract
This paper presents Nursing Sequential Decision Knowledge Graph (NSDKG) data set to support sequential decision making in the field of nursing. First, according to the international standard terminology system NANDA, NOC, and NIC, the knowledge graphs of nursing evaluation, nursing problem, nursing goal, nursing intervention and nursing assessment are constructed respectively. Then, these five knowledge graphs are linked based on the international standard terminology NNN, generating the ultimate knowledge graph of nursing sequential decision. The statistical analysis shows that the proposed NSDKG has the characteristics of community knowledge graph. We apply NSDKG to the relation prediction model and find that the data set can be effectively used to realize multi-hop inference. The NSDKG fills the gap of data set in the nursing field and provides a basis for the related research in the future.